Publication Date:
2018-12-11
Description:
Author(s): Caroline Desgranges and Jerome Delhommelle We combine machine learning (ML) with Monte Carlo (MC) simulations to study the crystal nucleation process. Specifically, we use ML to infer the canonical partition function of the system over the range of densities and temperatures spanned during crystallization. We achieve this on the example of t... [Phys. Rev. E 98, 063307] Published Mon Dec 10, 2018
Keywords:
Computational Physics
Print ISSN:
1539-3755
Electronic ISSN:
1550-2376
Topics:
Physics